I've looked at other answers but cannot find a solution for the code below to work. Basically, I'm creating a function that inner_join the two data frame and filter based on a column inputted in the function.

This is my dataframe:I want to extract col1=df[[1]][1] as a dataframe. Then col1 of the second position of this list I want to merge to the df[[1]][1], then I will have a dataframe with 2 columns. After this I want to merge the column 1 of the third position of...

I am trying to calculate p.values with a students t-test within a very huge data frame in the long data format. Since my original data frame has about lines within the data frame, the calculation of the p.values takes very long (took about 100 Minutes).

I have a data frame with patient encounters, and want to extract only the oldest encounter for each patient (which can be done using the sequential encounter ID). The code I came up with works, but I'm sure there are more efficient ways to perform this task using dplyr. What...

I'm aware of similar questions here and here, but I haven't been able to figure out the right solution for my specific situation. Some of what I'm finding are solutions which use mutate_, etc but I understand these are now obsolete. I'm new to dynamic usages of dplyr.